| Título : |
20th EPIA Conference on Artificial Intelligence, EPIA 2021, Virtual Event, September 7–9, 2021, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Marreiros, Goreti, ; Melo, Francisco S., ; Lau, Nuno, ; Lopes Cardoso, Henrique, ; Reis, Luís Paulo, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2021 |
| Número de páginas: |
XXX, 803 p. 229 ilustraciones, 181 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-86230-5 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Inteligencia artificial Red de computadoras Software de la aplicacion Computadoras Propósitos especiales Redes de comunicación informática Aplicaciones informáticas y de sistemas de información Sistemas de propósito especial y basados en aplicaciones |
| Índice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este libro constituye las actas arbitradas de la 20.ª Conferencia EPIA sobre Inteligencia Artificial, EPIA 2021, celebrada virtualmente en septiembre de 2021. Los 62 artículos completos y 6 artículos breves presentados fueron cuidadosamente revisados y seleccionados de un total de 108 presentaciones. Los artículos están organizados en las siguientes secciones temáticas: inteligencia artificial e IoT en la agricultura; inteligencia artificial y derecho; inteligencia artificial en medicina; inteligencia artificial en sistemas de potencia y energía; inteligencia artificial en sistemas de transporte; vida artificial y algoritmos evolutivos; inteligencia ambiental y entornos afectivos; IA general; robótica inteligente; descubrimiento de conocimientos e inteligencia empresarial; sistemas multiagente: teoría y aplicaciones; y minería de textos y aplicaciones. |
| Nota de contenido: |
Artificial Intelligence and IoT in Agriculture -- Autonomous Robot Visual-only Guidance in Agriculture using Vanishing Point Estimation -- Terrace Vineyards Detection from UAV Imagery Using Machine Learning: A Preliminary Approach -- Tomato Detection Using Deep Learning For Robotics Application -- Predicting Predawn Leaf Water Potential up to seven days using Machine Learning -- Artificial Intelligence and Law -- Towards Ethical Judicial Analytics: Assessing Readability of Immigration and Asylum Decisions in the United Kingdom -- A comparison of classification methods applied to legal text data -- Artificial Intelligence in Medicine -- Aiding clinical triage with text classification -- A web-based telepsychology platform prototype using Cloud Computing and Deep Learning tools -- Detecting, Predicting, and Preventing Driver Drowsiness with Wrist-Wearable Devices -- The evolution of Artificial Intelligence in Medical Informatics: a bibliometric analysis -- Artificial Intelligence in Power and Energy Systems -- Optimizing Energy Consumption of Household Appliances using PSO and GWO -- Metaheuristics for Optimal Scheduling of Appliances in Energy Efficient Neighbourhoods -- Multitask Learning for Predicting Natural Flows: a Case Study at Paraiba do Sul River -- PV Generation Forecasting Model for Energy Management in Buildings -- Automatic evolutionary settings of machine learning methods for buildings' thermal loads prediction -- Artificial Intelligence in Transportation Systems -- Minimising Fleet Times in Multi-Depot Pickup and Dropo Problems -- Solving a Bilevel Problem with Station Locationand Vehicle Routing using Variable Neighborhood Descent and Ant Colony Optimization -- Artificial Life and Evolutionary Algorithms -- Genetic Programming for Feature Extraction in Motor Imagery Brain-Computer Interface -- FERMAT: Feature Engineering with Grammatical Evolution -- Ambient Intelligence and Affective Environments -- A Reputation Score Proposalfor Online Video Platforms -- A Reinforcement Learning Approach to Improve User Achievement of Health-Related Goals -- Urban Human Mobility modelling and prediction: Impact of Comfort and Well-Being Indicators -- Comparison of Transfer Learning Behavior in Violence Detection with different Public Datasets -- General AI -- Deep neural network architectures for Speech Deception Detection: a brief survey -- 3DSRASG: 3D Scene Retrieval and Augmentation using Semantic Graphs -- Revisiting \Recurrent World Models Facilitate Policy Evolution" -- Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL -- The DeepONets for finance: An approach to calibrate the Heston Model -- Faster than LASER - Towards Stream Reasoning with Deep Neural Networks -- Using Regression Error Analysis and Feature Selection to Automatic Cluster Labeling -- A Chatbot for Recipe Recommendation and Preference Modeling -- Intelligent Robotics -- Exploiting Symmetry in Human Robot-Assisted Dressing using Reinforcement Learning -- I2SL: learn how to swarm autonomous quadrotors using Iterative Imitation Supervised Learning -- Neural network classifier and robotic manipulation for an autonomous industrial cork feeder -- NOPL - Notification Oriented Programming Language - A new Language, and its application to program a robotic soccer team -- Compound Movement Recognition using Dynamic Movement Primitives -- Metaheuristics for the Robot Part Sequencing and Allocation Problem with Collision Avoidance -- Knowledge Discovery and Business Intelligence -- Generalised Partial Association in Causal Rules Discovery -- Dynamic Topic Modeling using Social Network Analytics -- Imbalanced Learning in Assessing the Risk of Corruption in Public Administration -- Modelling voting behaviour during a general election campaign using dynamic Bayesian networks -- ESTHER: A Recommendation System for Higher Education Programs -- A Well Lubricated Machine: A Data Driven Model for Lubricant Oil Conditions -- A Comparisonof Machine Learning Methods for Extremely Unbalanced Industrial Quality Data -- Towards Top-up Prediction on Telco Operators -- Biomedical Knowledge Graph Embeddings for Personalized Medicine -- Deploying a speech therapy game using a deep neural network sibilant consonants classifier -- Data Streams for Unsupervised Analysis of Company Data -- Multi-Agent Systems: Theory and Applications -- One Arm to Rule Them All: Online Learning with Multi-armed Bandits for Low-resource Conversational Agents -- Helping People On The Fly: Ad Hoc Teamwork for Human-Robot Teams -- Ad hoc teamwork in the presence of non-stationary teammates -- Carbon Market Multi-Agent Simulation Model -- Cloud Based Decision Making for Multi-Agent Production Systems -- A Data-driven Simulator for Assessing Decision-making in Soccer -- Text Mining and Applications -- CyberPolice: Classification of Cyber Sexual Harassment -- Neural Text Categorization with Transformers for learning Portuguese as a Second Language -- MoreData is Better only to Some Level, after which It is Harmful:profiling Neural Machine Translation Self-Learning with Back-Translation.-- Answering Fill-in-the-Blank Questions in Portuguese with Transformer Language Models -- Cross-Lingual Annotation Projection for Argument Mining in Portuguese -- Acceptance Decision Prediction in Peer-Review through Sentiment Analysis -- Application of Data Augmentation techniques for Hate Speech Detection with Deep Learning -- Automated Fake News detection using Computational Forensic Linguistics. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
20th EPIA Conference on Artificial Intelligence, EPIA 2021, Virtual Event, September 7–9, 2021, Proceedings [documento electrónico] / Marreiros, Goreti, ; Melo, Francisco S., ; Lau, Nuno, ; Lopes Cardoso, Henrique, ; Reis, Luís Paulo, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXX, 803 p. 229 ilustraciones, 181 ilustraciones en color. ISBN : 978-3-030-86230-5 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Inteligencia artificial Red de computadoras Software de la aplicacion Computadoras Propósitos especiales Redes de comunicación informática Aplicaciones informáticas y de sistemas de información Sistemas de propósito especial y basados en aplicaciones |
| Índice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este libro constituye las actas arbitradas de la 20.ª Conferencia EPIA sobre Inteligencia Artificial, EPIA 2021, celebrada virtualmente en septiembre de 2021. Los 62 artículos completos y 6 artículos breves presentados fueron cuidadosamente revisados y seleccionados de un total de 108 presentaciones. Los artículos están organizados en las siguientes secciones temáticas: inteligencia artificial e IoT en la agricultura; inteligencia artificial y derecho; inteligencia artificial en medicina; inteligencia artificial en sistemas de potencia y energía; inteligencia artificial en sistemas de transporte; vida artificial y algoritmos evolutivos; inteligencia ambiental y entornos afectivos; IA general; robótica inteligente; descubrimiento de conocimientos e inteligencia empresarial; sistemas multiagente: teoría y aplicaciones; y minería de textos y aplicaciones. |
| Nota de contenido: |
Artificial Intelligence and IoT in Agriculture -- Autonomous Robot Visual-only Guidance in Agriculture using Vanishing Point Estimation -- Terrace Vineyards Detection from UAV Imagery Using Machine Learning: A Preliminary Approach -- Tomato Detection Using Deep Learning For Robotics Application -- Predicting Predawn Leaf Water Potential up to seven days using Machine Learning -- Artificial Intelligence and Law -- Towards Ethical Judicial Analytics: Assessing Readability of Immigration and Asylum Decisions in the United Kingdom -- A comparison of classification methods applied to legal text data -- Artificial Intelligence in Medicine -- Aiding clinical triage with text classification -- A web-based telepsychology platform prototype using Cloud Computing and Deep Learning tools -- Detecting, Predicting, and Preventing Driver Drowsiness with Wrist-Wearable Devices -- The evolution of Artificial Intelligence in Medical Informatics: a bibliometric analysis -- Artificial Intelligence in Power and Energy Systems -- Optimizing Energy Consumption of Household Appliances using PSO and GWO -- Metaheuristics for Optimal Scheduling of Appliances in Energy Efficient Neighbourhoods -- Multitask Learning for Predicting Natural Flows: a Case Study at Paraiba do Sul River -- PV Generation Forecasting Model for Energy Management in Buildings -- Automatic evolutionary settings of machine learning methods for buildings' thermal loads prediction -- Artificial Intelligence in Transportation Systems -- Minimising Fleet Times in Multi-Depot Pickup and Dropo Problems -- Solving a Bilevel Problem with Station Locationand Vehicle Routing using Variable Neighborhood Descent and Ant Colony Optimization -- Artificial Life and Evolutionary Algorithms -- Genetic Programming for Feature Extraction in Motor Imagery Brain-Computer Interface -- FERMAT: Feature Engineering with Grammatical Evolution -- Ambient Intelligence and Affective Environments -- A Reputation Score Proposalfor Online Video Platforms -- A Reinforcement Learning Approach to Improve User Achievement of Health-Related Goals -- Urban Human Mobility modelling and prediction: Impact of Comfort and Well-Being Indicators -- Comparison of Transfer Learning Behavior in Violence Detection with different Public Datasets -- General AI -- Deep neural network architectures for Speech Deception Detection: a brief survey -- 3DSRASG: 3D Scene Retrieval and Augmentation using Semantic Graphs -- Revisiting \Recurrent World Models Facilitate Policy Evolution" -- Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL -- The DeepONets for finance: An approach to calibrate the Heston Model -- Faster than LASER - Towards Stream Reasoning with Deep Neural Networks -- Using Regression Error Analysis and Feature Selection to Automatic Cluster Labeling -- A Chatbot for Recipe Recommendation and Preference Modeling -- Intelligent Robotics -- Exploiting Symmetry in Human Robot-Assisted Dressing using Reinforcement Learning -- I2SL: learn how to swarm autonomous quadrotors using Iterative Imitation Supervised Learning -- Neural network classifier and robotic manipulation for an autonomous industrial cork feeder -- NOPL - Notification Oriented Programming Language - A new Language, and its application to program a robotic soccer team -- Compound Movement Recognition using Dynamic Movement Primitives -- Metaheuristics for the Robot Part Sequencing and Allocation Problem with Collision Avoidance -- Knowledge Discovery and Business Intelligence -- Generalised Partial Association in Causal Rules Discovery -- Dynamic Topic Modeling using Social Network Analytics -- Imbalanced Learning in Assessing the Risk of Corruption in Public Administration -- Modelling voting behaviour during a general election campaign using dynamic Bayesian networks -- ESTHER: A Recommendation System for Higher Education Programs -- A Well Lubricated Machine: A Data Driven Model for Lubricant Oil Conditions -- A Comparisonof Machine Learning Methods for Extremely Unbalanced Industrial Quality Data -- Towards Top-up Prediction on Telco Operators -- Biomedical Knowledge Graph Embeddings for Personalized Medicine -- Deploying a speech therapy game using a deep neural network sibilant consonants classifier -- Data Streams for Unsupervised Analysis of Company Data -- Multi-Agent Systems: Theory and Applications -- One Arm to Rule Them All: Online Learning with Multi-armed Bandits for Low-resource Conversational Agents -- Helping People On The Fly: Ad Hoc Teamwork for Human-Robot Teams -- Ad hoc teamwork in the presence of non-stationary teammates -- Carbon Market Multi-Agent Simulation Model -- Cloud Based Decision Making for Multi-Agent Production Systems -- A Data-driven Simulator for Assessing Decision-making in Soccer -- Text Mining and Applications -- CyberPolice: Classification of Cyber Sexual Harassment -- Neural Text Categorization with Transformers for learning Portuguese as a Second Language -- MoreData is Better only to Some Level, after which It is Harmful:profiling Neural Machine Translation Self-Learning with Back-Translation.-- Answering Fill-in-the-Blank Questions in Portuguese with Transformer Language Models -- Cross-Lingual Annotation Projection for Argument Mining in Portuguese -- Acceptance Decision Prediction in Peer-Review through Sentiment Analysis -- Application of Data Augmentation techniques for Hate Speech Detection with Deep Learning -- Automated Fake News detection using Computational Forensic Linguistics. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |
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